Best Artificial Intelligence Software for CrewAI
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Compare the Top Artificial Intelligence Software that integrates with CrewAI as of November 2025
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This a list of Artificial Intelligence software that integrates with CrewAI. Use the filters on the left to add additional filters for products that have integrations with CrewAI. View the products that work with CrewAI in the table below.
What is Artificial Intelligence Software for CrewAI?
Artificial Intelligence (AI) software is computer technology designed to simulate human intelligence. It can be used to perform tasks that require cognitive abilities, such as problem-solving, data analysis, visual perception and language translation. AI applications range from voice recognition and virtual assistants to autonomous vehicles and medical diagnostics. Compare and read user reviews of the best Artificial Intelligence software for CrewAI currently available using the table below. This list is updated regularly.
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1
Google Cloud Platform
Google
Google Cloud Platform provides an extensive suite of Artificial Intelligence (AI) and machine learning tools designed to streamline data analysis. GCP offers pre-trained models and APIs like Vision AI, Natural Language, and AutoML that allow businesses to easily incorporate AI into their applications without requiring deep expertise in the field. Additionally, new customers receive $300 in free credits to run, test, and deploy workloads, enabling them to explore AI capabilities on the platform and implement advanced machine learning solutions at no initial cost. GCP’s AI tools also integrate seamlessly with other services, creating end-to-end machine learning pipelines from data processing to model deployment. Furthermore, these tools are designed to be highly scalable, allowing companies to experiment with AI and grow their AI-powered solutions as their needs expand. With these resources, businesses can quickly leverage AI for various tasks, from predictive analytics to automation.Starting Price: Free ($300 in free credits) -
2
Microsoft Azure
Microsoft
Microsoft's Azure is a cloud computing platform that allows for rapid and secure application development, testing and management. Azure. Invent with purpose. Turn ideas into solutions with more than 100 services to build, deploy, and manage applications—in the cloud, on-premises, and at the edge—using the tools and frameworks of your choice. Continuous innovation from Microsoft supports your development today, and your product visions for tomorrow. With a commitment to open source, and support for all languages and frameworks, build how you want, and deploy where you want to. On-premises, in the cloud, and at the edge—we’ll meet you where you are. Integrate and manage your environments with services designed for hybrid cloud. Get security from the ground up, backed by a team of experts, and proactive compliance trusted by enterprises, governments, and startups. The cloud you can trust, with the numbers to prove it. -
3
OpenAI
OpenAI
OpenAI’s mission is to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity. We will attempt to directly build safe and beneficial AGI, but will also consider our mission fulfilled if our work aids others to achieve this outcome. Apply our API to any language task — semantic search, summarization, sentiment analysis, content generation, translation, and more — with only a few examples or by specifying your task in English. One simple integration gives you access to our constantly-improving AI technology. Explore how you integrate with the API with these sample completions. -
4
Cognee
Cognee
Cognee is an open source AI memory engine that transforms raw data into structured knowledge graphs, enhancing the accuracy and contextual understanding of AI agents. It supports various data types, including unstructured text, media files, PDFs, and tables, and integrates seamlessly with several data sources. Cognee employs modular ECL pipelines to process and organize data, enabling AI agents to retrieve relevant information efficiently. It is compatible with vector and graph databases and supports LLM frameworks like OpenAI, LlamaIndex, and LangChain. Key features include customizable storage options, RDF-based ontologies for smart data structuring, and the ability to run on-premises, ensuring data privacy and compliance. Cognee's distributed system is scalable, capable of handling large volumes of data, and is designed to reduce AI hallucinations by providing AI agents with a coherent and interconnected data landscape.Starting Price: $25 per month -
5
Hugging Face
Hugging Face
Hugging Face is a leading platform for AI and machine learning, offering a vast hub for models, datasets, and tools for natural language processing (NLP) and beyond. The platform supports a wide range of applications, from text, image, and audio to 3D data analysis. Hugging Face fosters collaboration among researchers, developers, and companies by providing open-source tools like Transformers, Diffusers, and Tokenizers. It enables users to build, share, and access pre-trained models, accelerating AI development for a variety of industries.Starting Price: $9 per month -
6
PandoraBot
PandoraBot
We craft bots to your specific business needs, training them with your unique knowledge and seamlessly integrating them into your existing processes. Imagine an AI chatbot built specifically for your unique needs, tailored to your vision from the ground up. We partner with you to craft the perfect front-end interface, fit the bot with your valuable knowledge, and ensure its responses achieve an impressive accuracy rate of over 90%. All in an enterprise-grade production environment, hosted securely on our cloud or yours, giving you a bespoke bot solution that perfectly aligns with your business goals. The Pandora VisionBot has revolutionized stock monitoring for a merchandising company by automating inventory checks, which were previously a major cost. Previously, salespeople were dispatched to monitor and replenish merchandise. Now, delivery drivers can simply use their mobile phones to capture an image of the stock, enabling instant, accurate stock measurements.Starting Price: $65.32 per month -
7
SWE-Kit
Composio
SweKit let’s you build PR agents to review code, suggest improvements, enforce coding standards, identify potential issues, automate merge approvals, and provide feedback on best practices, streamlining the review process and enhancing code quality. Automate writing new features, debug complex issues, create and run tests, optimize code for performance, refactor for maintainability, and ensure best practices across the codebase, accelerating development and efficiency. Use highly optimized code analysis, advanced code indexing, and intelligent file navigation tools to explore and interact with large codebases effortlessly. Ask questions, trace dependencies, uncover logic flows, and gain instant insights, enabling seamless communication with complex code structures. Keep your documentation in sync with your code. Automatically update Mintlify documentation whenever changes are made to the codebase, ensuring that your docs stay accurate, up-to-date, and ready for your team and users.Starting Price: $49 per month -
8
Arize Phoenix
Arize AI
Phoenix is an open-source observability library designed for experimentation, evaluation, and troubleshooting. It allows AI engineers and data scientists to quickly visualize their data, evaluate performance, track down issues, and export data to improve. Phoenix is built by Arize AI, the company behind the industry-leading AI observability platform, and a set of core contributors. Phoenix works with OpenTelemetry and OpenInference instrumentation. The main Phoenix package is arize-phoenix. We offer several helper packages for specific use cases. Our semantic layer is to add LLM telemetry to OpenTelemetry. Automatically instrumenting popular packages. Phoenix's open-source library supports tracing for AI applications, via manual instrumentation or through integrations with LlamaIndex, Langchain, OpenAI, and others. LLM tracing records the paths taken by requests as they propagate through multiple steps or components of an LLM application.Starting Price: Free -
9
HumanLayer
HumanLayer
HumanLayer is an API and SDK that enables AI agents to contact humans for feedback, input, and approvals. It guarantees human oversight of high-stakes function calls with approval workflows across Slack, email, and more. By integrating with your preferred Large Language Model (LLM) and framework, HumanLayer empowers AI agents with safe access to the world. The platform supports various frameworks and LLMs, including LangChain, CrewAI, ControlFlow, LlamaIndex, Haystack, OpenAI, Claude, Llama3.1, Mistral, Gemini, and Cohere. HumanLayer offers features such as approval workflows, human-as-tool integration, and custom responses with escalations. Pre-fill response prompts for seamless human-agent interactions. Route to specific individuals or teams, and control which users can approve or respond to LLM requests. Invert the flow of control, from human-initiated to agent-initiated. Add a variety of human contact channels to your agent toolchain.Starting Price: $500 per month -
10
KitchenAI
KitchenAI
KitchenAI is a developer-centric framework that streamlines the process of transforming AI Jupyter Notebooks into production-ready APIs. It bridges the gap between AI developers, application developers, and infrastructure developers by providing a fully featured API server with default routes, a command-line interface for quick setup, and an extensible plugin framework. This design enables users to author multiple AI techniques, rapidly test and iterate, and seamlessly build and share their work. For AI developers, KitchenAI manages scalability within familiar environments, converting notebooks into robust applications. Application developers benefit from intuitive SDKs and tools that facilitate the integration of AI through simple APIs, allowing for quick testing to determine the most suitable AI techniques for their applications. Infrastructure developers can integrate with AI tooling.Starting Price: $17 per month -
11
Mem0
Mem0
Mem0 is a self-improving memory layer designed for Large Language Model (LLM) applications, enabling personalized AI experiences that save costs and delight users. It remembers user preferences, adapts to individual needs, and continuously improves over time. Key features include enhancing future conversations by building smarter AI that learns from every interaction, reducing LLM costs by up to 80% through intelligent data filtering, delivering more accurate and personalized AI outputs by leveraging historical context, and offering easy integration compatible with platforms like OpenAI and Claude. Mem0 is perfect for projects such as customer support, where chatbots remember past interactions to reduce repetition and speed up resolution times; personal AI companions that recall preferences and past conversations for more meaningful interactions; AI agents that learn from each interaction to become more personalized and effective over time.Starting Price: $249 per month -
12
E2B
E2B
E2B is an open source runtime designed to securely execute AI-generated code within isolated cloud sandboxes. It enables developers to integrate code interpretation capabilities into their AI applications and agents, facilitating the execution of dynamic code snippets in a controlled environment. The platform supports multiple programming languages, including Python and JavaScript, and offers SDKs for seamless integration. E2B utilizes Firecracker microVMs to ensure robust security and isolation for code execution. Developers can deploy E2B within their own infrastructure or utilize the provided cloud service. The platform is designed to be LLM-agnostic, allowing compatibility with various large language models such as OpenAI, Llama, Anthropic, and Mistral. E2B's features include rapid sandbox initialization, customizable execution environments, and support for long-running sessions up to 24 hours.Starting Price: Free -
13
AI SDR-Kit
Composio
AI SDR-Kit by Composio is a powerful platform that helps businesses and developers create AI-powered sales agents to automate sales workflows. The solution is designed to handle lead generation, outreach, CRM management, and pipeline enrichment tasks. It enables businesses to automate prospecting, email outreach with personalized templates, market research, and meeting scheduling. With AI SDR-Kit, users can integrate with over 60 popular CRM and sales apps, including Salesforce, HubSpot, and Gmail, to streamline their sales operations. The platform also provides automated data enrichment and managed authentication, ensuring secure and optimized email deliverability. The AI agents within the tool can also analyze market data, enhance CRM data, and improve overall sales efficiency. Composio’s solution supports various sales activities, from automated lead identification to comprehensive sales automation, making it a scalable option for businesses of any size.Starting Price: $29 per month -
14
FastAgency
FastAgency
FastAgency is an open source framework designed to accelerate the deployment of multi-agent AI workflows from prototype to production. It provides a unified programming interface compatible with various agentic AI frameworks, enabling developers to deploy agentic workflows in both development and production settings. With features like multi-runtime support, seamless external API integration, and a command-line interface for orchestration, FastAgency simplifies the creation of scalable, production-ready architectures for serving AI workflows. Currently, it supports the AutoGen framework, with plans to extend support to CrewAI, Swarm, and LangGraph in the future. Developers can easily switch between frameworks, choosing the best one for their project's specific needs. FastAgency also features a common programming interface that enables the development of core workflows once and reuse them across various user interfaces without rewriting code.Starting Price: Free -
15
AI Crypto-Kit
Composio
AI Crypto-Kit empowers developers to build crypto agents by seamlessly integrating leading Web3 platforms like Coinbase, OpenSea, and more to automate real-world crypto/DeFi workflows. Developers can build AI-powered crypto automation in minutes, including applications such as trading agents, community reward systems, Coinbase wallet management, portfolio tracking, market analysis, and yield farming. The platform offers capabilities engineered for crypto agents, including fully managed agent authentication with support for OAuth, API keys, JWT, and automatic token refresh; optimization for LLM function calling to ensure enterprise-grade reliability; support for over 20 agentic frameworks like Pippin, LangChain, and LlamaIndex; integration with more than 30 Web3 platforms, including Binance, Aave, OpenSea, and Chainlink; and SDKs and APIs for agentic app interactions, available in Python and TypeScript. -
16
NVIDIA Blueprints
NVIDIA
NVIDIA Blueprints are reference workflows for agentic and generative AI use cases. Enterprises can build and operationalize custom AI applications, creating data-driven AI flywheels, using Blueprints along with NVIDIA AI and Omniverse libraries, SDKs, and microservices. Blueprints also include partner microservices, reference code, customization documentation, and a Helm chart for deployment at scale. With NVIDIA Blueprints, developers benefit from a unified experience across the NVIDIA stack, from cloud and data centers to NVIDIA RTX AI PCs and workstations. Use NVIDIA Blueprints to create AI agents that use sophisticated reasoning and iterative planning to solve complex problems. Check out new NVIDIA Blueprints, which equip millions of enterprise developers with reference workflows for building and deploying generative AI applications. Connect AI applications to enterprise data using industry-leading embedding and reranking models for information retrieval at scale. -
17
Amazon Bedrock AgentCore
Amazon
Amazon Bedrock AgentCore enables you to deploy and operate highly capable AI agents securely at scale, offering infrastructure purpose‑built for dynamic agent workloads, powerful tools to enhance agents, and essential controls for real‑world deployment. It works with any framework and any foundation model in or outside of Amazon Bedrock, eliminating the undifferentiated heavy lifting of specialized infrastructure. AgentCore provides complete session isolation and industry‑leading support for long‑running workloads up to eight hours, with native integration to existing identity providers for seamless authentication and permission delegation. A gateway transforms APIs into agent‑ready tools with minimal code, and built‑in memory maintains context across interactions. Agents gain a secure browser runtime for complex web‑based workflows and a sandboxed code interpreter for tasks like generating visualizations.Starting Price: $0.0895 per vCPU-hour -
18
Dendrite
Dendrite
Dendrite is a framework-agnostic platform that empowers developers to create web-based tools for AI agents, enabling them to authenticate, interact with, and extract data from any website. By simulating human-like browsing behavior, Dendrite facilitates seamless web navigation and data retrieval for AI applications. The platform offers a Python SDK, providing developers with the necessary tools to build AI agents capable of performing tasks such as interacting with web elements and extracting information. Dendrite's flexibility allows it to integrate with any tech stack, making it a versatile solution for developers aiming to enhance their AI agents' web interaction capabilities. Your Dendrite client syncs with website authentication sessions in your local browser, no need to share or store login credentials. Use our Chrome Extension, Dendrite Vault, to securely share authentication sessions from your browser with the Dendrite client. -
19
AI Agents Directory
AI Agents Directory
AI Agents Directory is the world's largest AI agents marketplace and directory, offering over 1,300 enterprise-ready AI agents across 64+ categories. It provides a comprehensive platform to discover, compare, and deploy AI agents tailored to various business needs. Users can explore a wide range of categories, including productivity, sales, customer service, coding, voice, and more, each populated with specialized agents designed to automate tasks and enhance efficiency. It features detailed information on each agent, allowing for informed decision-making based on features, pricing, and reviews. With tools to request custom AI agents and submit new ones, AI Agents Directory fosters a dynamic ecosystem for businesses and developers seeking to leverage AI solutions. -
20
Naptha
Naptha
Naptha is a modular AI platform for autonomous agents that empowers developers and researchers to build, deploy, and scale cooperative multi‑agent systems on the agentic web. Its core innovations include Agent Diversity, which continuously upgrades performance by orchestrating diverse models, tools, and architectures; Horizontal Scaling, which supports collaborative networks of millions of AI agents; Self‑Evolved AI, where agents learn and optimize themselves beyond human‑designed capabilities; and AI Agent Economies, which enable autonomous agents to generate useful goods and services. Naptha integrates seamlessly with popular frameworks and infrastructure, LangChain, AgentOps, CrewAI, IPFS, NVIDIA stacks, and more, via a Python SDK that upgrades existing agent frameworks with next‑generation enhancements. Developers can extend or publish reusable components on the Naptha Hub, run full agent stacks anywhere a container can execute on Naptha Nodes. -
21
Atla
Atla
Atla is the agent observability and evaluation platform that dives deeper to help you find and fix AI agent failures. It provides real‑time visibility into every thought, tool call, and interaction so you can trace each agent run, understand step‑level errors, and identify root causes of failures. Atla automatically surfaces recurring issues across thousands of traces, stops you from manually combing through logs, and delivers specific, actionable suggestions for improvement based on detected error patterns. You can experiment with models and prompts side by side to compare performance, implement recommended fixes, and measure how changes affect completion rates. Individual traces are summarized into clean, readable narratives for granular inspection, while aggregated patterns give you clarity on systemic problems rather than isolated bugs. Designed to integrate with tools you already use, OpenAI, LangChain, Autogen AI, Pydantic AI, and more. -
22
Gentoro
Gentoro
Gentoro is a platform built to empower enterprises to adopt agentic automation by bridging AI agents with real-world systems securely and at scale. It uses the Model Context Protocol (MCP) as its foundation, allowing developers to automatically convert OpenAPI specs or backend endpoints into production-ready MCP Tools, without writing custom integration code. Gentoro takes care of runtime concerns like logging, retries, monitoring, and cost optimization, while enforcing secure access, auditability, and governance policies (e.g., OAuth support, policy enforcement) whether deployed in a private cloud or on-premises. It is model- and framework-agnostic, meaning it supports integration with various LLMs and agent architectures. Gentoro helps avoid vendor lock-in and simplifies tool orchestration in enterprise environments by managing tool generation, runtime, security, and maintenance in one stack.
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